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Machine Learning Engineer Jobs in California, MD

Network Infrastructure Engineer

Dahlgren, VA ยท On-site

$80K - $125K/yr

The ideal candidate is a self-motivated problem-solver with a passion for learning and a commitment ... Configure and manage virtual machines (VMs), ensuring optimal performance and resource utilization.

Senior Data Scientist

Saint Inigoes, MD ยท On-site

$90K - $150K/yr

... programming languages and visualization software. Responsibilities * Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze ...

... programming languages and visualization software. Responsibilities * Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze ...

Senior Data Scientist

Saint Inigoes, MD ยท On-site

$90K - $150K/yr

... programming languages and visualization software. Responsibilities * Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze ...

New

Systems Engineer

Lexington Park, MD ยท Hybrid

$77K - $128K/yr

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Systems Engineer

Lexington Park, MD ยท Hybrid

$116K - $194K/yr

Occasionally move about inside the office to access file cabinets, office machinery, or to ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Systems Engineer

Patuxent River, MD ยท On-site

$116K - $194K/yr

Occasionally move about inside the office to access file cabinets, office machinery, or to ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Showing results 41-60

Machine Learning Engineer information

See California, MD salary details

$30.2K

$123.4K

$185.4K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in California, MD is $123,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $148,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near California, MD are hiring for Machine Learning Engineer jobs?

Cities near California, MD with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in California, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,398 per year, or $59.3 per hour.

Data Analytics Engineer with Security Clearance

Sabre Systems

Lexington Park, MD โ€ข On-site

$111K - $133K/yr

Other

Re-posted 29 days ago


Job description

Responsibilities The NAVAIR Digital Department, Command Data Officer Team is seeking a Data Analytics Engineer to work with our diverse operational and customer stakeholders to identify, help acquire, process, and when necessary, visualize and analyze our diverse data sources. The successful candidate will work across diverse technical and operational customers on a number of mission-critical, high-visibility projects to contribute foundational data assets for our analytics team. Primary Responsibilities: * Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics work * Liaise with business and operational stakeholders and customers to understand business needs, metrics, and goals and objectives. Translate and map user requirements to underlying data sources and develop plans for how those data sources can be extracted * Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc) Qualifications * Bachelor's degree in an information technology related field is required, Master's degree is preferred. * Three (3) years of related experience is required * Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL) * Working knowledge of code repositories & version control (Git) * Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI) * Technical and business domain-focused customer experience * A Security + certification is required within 90 days of higher * An active DoD Secret Clearance or higher is required * Selected candidate must pass a background investigation Desired Skills * Experience working with Cybersecurity / RMF * Knowledge of advanced analytics principals (statistical modeling, machine learning, AI) * Experience building/maintaining/automating dashboards for users * Military background a plus Compensation Statement At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements; however, final compensation will be determined by individual qualifications and applicable contract terms. The general salary range for this position is as follows: $80,000.00 - $125,000.00 Refer & Earn: Employee Referral Bonus Eligibility โ€ข A Level 3 Employee Referral Bonus applies to this requisition for qualifying referrals. At Sabre Systems, we value great talent and encourage our employees to refer exceptional candidates. If you have any questions about the referral policy or this position, please contact the Recruiting team. Sabre Overview Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation. With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture. We respect the unique perspectives that a diverse workforce of minorities, women, individuals with disabilities, and protected veterans brings not only to our company, but also to our customers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information. EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor Beware of employment scams -Sabre Systems will never request payment, extend offers without an interview, or contact you from an email that doesn't end in @sabresystems.com; always apply directly at https://careers.sabresystems.com/ .